Work

Application of the improved chaotic grey wolf optimization algorithm as a novel and efficient method for parameter estimation of solid oxide fuel cells model

Year: 2021

Type: article

Source: International Journal of Hydrogen Energy

DOI: 10.1016/j.ijhydene.2021.08.174

Authors: Peng Hao, Behnam Sobhani

Institutions: Shanxi Institute of Mechanical & Electrical Engineering, Iran University of Science and Technology

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W3199882012

FWCI: 3.972

Cites: 47

Cited by: 74

Related to: 10